With the development of artificial intelligence, the gradually mature AI technology has gradually shifted to the industrial application of “AI+”. Although “AI+ Medical ” is still at an early stage compared to the booming “AI+Finance” and “AI+Retail”, there is no doubt that smart medical care is one of the most promising areas of artificial intelligence.

IDC listed the Diagnostic and Therapeutic System as one of the areas that attracted the most investment in 2016 in its Global Semi-Cognitive/Artificial Intelligence Expenditure Guide, and said it will include drug research and discovery and diagnostic and therapeutic systems over the next five years. The use case will get the most development.

IDC predicts a CAGR of 69.3% for medical health artificial intelligence investments. Similarly, CB Insights ranks healthcare as the hottest area of ​​artificial intelligence and uses it as an entrepreneurial project this year.

From the current development point of view, "AI + medical" can be divided into the following three levels:

Intelligent consultation

Precision medicine

Drug Discovery

Intelligent consultation

The main reason why “AI+Medical” has such a large application prospect is that its market demand is huge. In the traditional medical industry , doctors have a long training period and a high rate of misdiagnosis. Hospital resources and low efficiency have always been difficult to solve.

With the innovation of technology, smart medical care has brought the dawn of solving this problem. At present, one of the most mature cases is IBM Watson.

IBM Watson can read 3,469 medical monographs, 248,000 papers, 69 treatment options, 61,540 trial data, and 106,000 clinical reports in 17 seconds.

By integrating information retrieval, natural language processing, machine learning and other technologies and massive data, IBM Watson can independently understand, reason and learn, and quickly become a tumor expert in a short time.

This set of data allows us to see the infinite possibilities of smart healthcare. On the one hand, its emergence and development will greatly improve the efficiency of human doctors, reduce the cost of time, and on the other hand, by assisting doctors to make corresponding judgments, it also greatly reduces the chance of misdiagnosis.

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